mlsanityData to 7 Oct 2026

A parameter refinement method for Ptychography based on Deep Learning concepts

arXiv 2105.08058 ↗First posted 18 May 2021eess.IV cs.CV cs.NAcited by 4

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Abstract (arXiv)

X-ray Ptychography is an advanced computational microscopy technique which is delivering exceptionally detailed quantitative imaging of biological and nanotechnology specimens. However coarse parametrisation in propagation distance, position errors and partial coherence frequently menaces the experiment viability. In this work we formally introduced these actors, solving the whole reconstruction as an optimisation problem. A modern Deep Learning framework is used to correct autonomously the setup incoherences, thus improving the quality of a ptychography reconstruction. Automatic procedures are indeed crucial to reduce the time for a reliable analysis, which has a significant impact on all the fields that use this kind of microscopy. We implemented our algorithm in our software framework, SciComPty, releasing it as open-source. We tested our system on both synthetic datasets and also on real data acquired at the TwinMic beamline of the Elettra synchrotron facility.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 10 of its 68 references that are in the map. First posted on arXiv 18 May 2021.

Builds on

10 of 68 references.

References · 10

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  7. 2018Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlowcited by 5
  8. 2019Using Automatic Differentiation as a General Framework for Ptychographic Reconstructioncited by 5
  9. 2020Efficient and flexible approach to ptychography using an optimization framework based on automatic differentiationcited by 2
  10. 2019Tutorials on X-ray Phase Contrast Imaging: Some Fundamentals and Some Conjectures on Future Developmentscited by 1

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Cited by year

Citing papers per year: 2022: 3; 2023: 1.

4 papers.

  1. 2023PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstructioncited by 9
  2. 2022Compressive Ptychography using Deep Image and Generative Priorscited by 5
  3. 2022A modular software framework for the design and implementation of ptychography algorithmscited by 1
  4. 2022A Deep Generative Approach to Oversampling in Ptychographycited by 0